AQ-Bench global prediction

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Map and AOA

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Model Infos

Random Forest 

4462 samples
   9 predictor

No pre-processing
Resampling: Cross-Validated (4 fold) 
Summary of sample sizes: 3346, 3346, 3347, 3347 
Resampling results:

  RMSE      Rsquared   MAE     
  4.797561  0.4417623  3.568128

Tuning parameter 'mtry' was held constant at a value of 2
Tuning
 parameter 'splitrule' was held constant at a value of variance

Tuning parameter 'min.node.size' was held constant at a value of 5

Variable Importance

Random Forest Explorer

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Training Sample Influence

How many training samples were utilized to come up with a particular prediction?

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Inside vs. Outside AOA

Is the number of training samples utilized related to the AOA?

Training Samples